Abstract: We introduce a novel gradient-based approach for solving sequential tasks by dynamically adjusting the underlying myopic potential field in response to feedback and the world's regularities.

While crime in Charlotte as a whole declined in 2025 compared with the prior year, violence in uptown and South End increased ...

AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: task-solving and simulation. Task-solving: This ...

Discover 8 best online JavaScript compilers to practice code instantly. Compare features, speed, and ease of use. Start ...

Extension that converts individual Java files to Kotlin code aims to ease the transition to Kotlin for Java developers.

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your career long-term.

Latest update to Anthropic’s popular AI model also promises improvements for computer use, long-context reasoning, agent planning, knowledge work, and design.

As artificial intelligence (AI) continues to shape the workplace, the role of leadership is changing. AI is transforming how we work by automating routine tasks, enhancing data analysis, and enabling ...

Preissner likened the task of boiling down all those books to a Rubik’s Cube. In the process of puzzling it out, the ...

This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...

Large language models are rapidly replacing help forums like StackOverflow, and are especially helpful to non-professional programmers and end users. These users are often interested in data-centric ...